Based on left type II censored samples from a Gumbel type II distribution, the Bayes estimators and corresponding risks of the unknown parameter were obtained under different asymmetric loss functions, assuming different informative and non-informative priors. Elicitation of hyper-parameters through prior predictive approach has also been discussed. The expressions for the credible intervals and posterior predictive distributions have been derived. Comparisons of these estimators are made through simulation study using numerical and graphical methods.
Sindhu, Tabassum Naz; Feroze, Navid; and Aslam, Muhammad
"Study of the Left Censored Data from the Gumbel Type II Distribution under a Bayesian Approach,"
Journal of Modern Applied Statistical Methods: Vol. 15
, Article 10.
Available at: http://digitalcommons.wayne.edu/jmasm/vol15/iss2/10